android 获取gpu内存使用率
时间: 2023-11-13 22:02:33 浏览: 341
android 获取cpu使用率, 内存 实时数据
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要获取Android设备上GPU内存使用率,可以使用以下步骤:
1. 在Android Studio中打开您的应用程序项目。
2. 在项目中添加以下依赖项:
```xml
dependencies {
implementation 'com.android.support:appcompat-v7:28.0.0'
implementation 'com.android.support:support-annotations:28.0.0'
implementation 'com.android.support:design:28.0.0'
implementation 'com.android.support:support-v4:28.0.0'
implementation 'com.android.support:cardview-v7:28.0.0'
implementation 'com.android.support:recyclerview-v7:28.0.0'
implementation 'com.android.support:multidex:1.0.3'
implementation 'com.google.android.gms:play-services-ads:17.2.0'
implementation 'com.google.android.gms:play-services-vision:17.0.2'
implementation 'com.google.android.gms:play-services-location:16.0.0'
implementation 'com.google.android.gms:play-services-maps:16.0.0'
implementation 'com.google.android.gms:play-services-auth:16.0.1'
implementation 'com.google.android.gms:play-services-identity:16.0.0'
implementation 'com.google.android.gms:play-services-games:16.0.0'
implementation 'com.google.android.gms:play-services-drive:16.0.0'
implementation 'com.google.android.gms:play-services-plus:16.0.0'
implementation 'com.google.android.gms:play-services-panorama:16.0.0'
implementation 'com.google.android.gms:play-services-nearby:16.0.0'
}
```
3. 在应用程序中添加以下代码:
```java
private double getGpuUsage() {
Process process = null;
double gpuUsage = 0.0d;
try {
process = Runtime.getRuntime().exec("dumpsys meminfo");
BufferedReader reader = new BufferedReader(new InputStreamReader(process.getInputStream()), 1024);
String line;
int index = -1;
while ((line = reader.readLine()) != null) {
if (line.contains("Graphics")) {
index = line.indexOf(":");
gpuUsage = Double.parseDouble(line.substring(index + 1, line.length() - 1).trim());
break;
}
}
reader.close();
} catch (IOException e) {
e.printStackTrace();
} finally {
if (process != null) {
process.destroy();
}
}
return gpuUsage;
}
```
4. 调用此方法以获取GPU内存使用率:
```java
double gpuUsage = getGpuUsage();
```
5. 您可以将此值打印到控制台中,也可以将其发送到您的服务器以进行分析和监控。
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